{"id":"W4297958057","doi":"","title":"Optimization of meshed electrical networks by increasing algebraic connectivity","year":2017,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Safran Electronics (Canada)","funders":"","keywords":"Computer science; Algebraic number; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002472183,0.0004798005,0.0003120328,0.0004739175,0.0002344101,0.0005560216,0.0004970438,0.0004348487,0.004404984],"category_scores_gemma":[0.001921695,0.0002081894,0.0001973238,0.0004048327,0.0003477316,0.0007020878,0.0005898707,0.0003065472,0.0002357352],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004990841,"about_ca_system_score_gemma":0.000252211,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006994485,"about_ca_topic_score_gemma":0.001731573,"domain_scores_codex":[0.9998926,0.00003839972,0.000003535361,0.00001903867,0.00002369189,0.00002265815],"domain_scores_gemma":[0.999411,0.0003758627,0.00008840772,0.00002738863,0.00006721312,0.00003022523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004426296,0.00001697015,0.0003380975,0.0000420565,0.000009114347,0.00003141314,0.0000155687,0.9757362,0.002534266,0.006413485,0.0003639964,0.01445468],"study_design_scores_gemma":[0.00001024858,0.00005722542,0.0001439793,0.000005708487,0.000007368812,0.00001903827,0.00001683355,0.9943004,0.0008365197,0.003910743,0.0006893779,0.000002594835],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3795486,0.0006455686,0.5766279,0.0007192058,0.0001222655,0.00006924332,0.0001316675,0.0003007968,0.04183477],"genre_scores_gemma":[0.9664994,0.0002336667,0.03032448,0.00003968764,0.00002244851,0.00003203739,0.00003693897,0.00004994308,0.002761324],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004404984,"threshold_uncertainty_score":0.01473618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00725811079250767,"score_gpt":0.2035502325595651,"score_spread":0.1962921217670574,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}